ReviewEvolutionary applications2022
Utility and challenges of using whole-genome resequencing to detect emerging insect and mite resistance in agroecosystems.
Review in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Recurrent mutations drive the rapid evolution of pesticide resistance in the two-spotted spider miteeLife · 2025Article
- The genetic architecture of resistance to flubendiamide insecticide in Helicoverpa armigera (Hübner).PloS one · 2025Article
- Polygenic response to selection by transgenic Bt-expressing crops in wild Helicoverpa zea and characterization of a major effect locus.BMC genomics · 2024Article
- Cross-pollination in seed-blended refuge and selection for Vip3A resistance in a lepidopteran pest as detected by genomic monitoring.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Extended Sentinel Monitoring ofInsects · 2023Article
- Evolution in agricultural systems: Moving toward the understanding of complexity.Evolutionary applications · 2022Review
- Utility and challenges of using whole-genome resequencing to detect emerging insect and mite resistance in agroecosystems.Evolutionary applications · 2022Review
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Arthropods that invade agricultural ecosystems systematically evolve resistance to the control measures used against them, and this remains a significant and ongoing challenge for sustainable food production systems. Early detection of resistance evolution could prompt remedial action to slow the spread of resistance alleles in the landscape. Historical approaches used to detect emerging resistance included phenotypic monitoring of agricultural pest populations, as well as monitoring of allele frequency changes at one or a few candidate pesticide resistance genes. In this article, I discuss the successes and limitations of these traditional monitoring approaches and then consider whether whole-genome scanning could be applied to samples collected from agroecosystems over time for resistance monitoring. I examine the qualities of agroecosystems that could impact application of this approach to pesticide resistance monitoring and describe a recent retrospective analysis where genome scanning successfully detected an oligogenic response to selection by pesticides years prior to pest management failure. I conclude by considering areas of further study that will shed light on the feasibility of applying whole-genome scanning for resistance risk monitoring in agricultural pest species.
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Registered trials
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